JP2015525410A - Bulk purchase by ad hoc consumer groups - Google Patents

Abstract

The central server allows leader members to create desired purchase transactions for desired products or services. The leader member uses the social networking application and other means at the central server to market the desired purchase transaction to like-minded consumers who subscribe to a purchase group at the central server that follows the desired purchase transaction. The leader member uses the central server and other means to sell the desired purchase transaction to potential retailers who have registered interest in the desired purchase transaction at the central server. As the purchase group grows in size, the leader member negotiates with retailers that are interested in more discounts until both the purchase group and the selected retailer are satisfied with the transaction. This system simplifies the conclusion of trading contracts so that consumers receive products or services and payments are made to retailers. [Selection] Figure 2

Description

Related applications

  This application claims priority from US application Ser. No. 13 / 523,008, filed Jun. 14, 2012, the entire contents of which are hereby incorporated by reference.

  The present invention relates generally to conventional electronic commerce systems, and more specifically to bulk purchases by ad hoc consumer groups built using social networking infrastructure and / or metagroups.

  Social commerce is a subset of electronic commerce that employs collaborative social media tools to assist in online purchases and sales. Social commerce is typically Yahoo! Refers to shopping recommendations and review sites, but recently, socialshopping where members share not only recommendations but also electronic coupon codes. com and other joint commerce activities.

  Academic research on social commerce focused on social networking perspectives in the online market and the value measurement of this marketing tool for companies that operate the social commerce market and for individuals who participate in these markets. This survey defines social commerce as a network of sellers / stores in the online market, while social shopping includes online networks and buyer / customer networks in the online community.

  Social shopping is an e-commerce and traditional shopping method for consumers to shop in social networking environments such as Facebook or MySpace. In traditional social shopping, users communicate and aggregate information about products and prices, bargains and transactions from real or online retailers, and interactions between users interested in similar shopping. Share through a simplified website. Some social shopping websites use established online social networks and tools such as Facebook Connect or Twitter. This tool allows the user to ask the user's Facebook friends or Twitter followers about their purchases via social shopping sites.

  All of these conventional social commerce systems have the problem of not providing a better deal for the consumer than already available. Therefore, there is a need for a system and method that solves the significant problems found in conventional systems as described above.

  What is described here is the collective purchasing power of individual consumers by grouping together consumers of the same opinion to form a bulk purchase group and using the size of the group in exchange for discounts on goods and services from retailers. It is a system for utilizing. This system employs a central server. This central server allows leader members to create a desired purchase transaction for a desired product or service. This leader member uses a social networking application provided by a central server as well as an external social networking application, etc., and a consensus consumer who joins a purchasing group that follows its desired purchase transaction through the central server Sell the desired purchase transaction.

  Leader members may also register with potential retailers that have registered interest in the desired purchase transaction at the central server using social networking applications provided by the central server as well as external social networking applications. Sell the desired purchase transaction. As the purchase group size increases, leader members negotiate more discounts with interested retailers until both the purchase group and the selected retailer are satisfied with the transaction. The system then simplifies entering into a business contract, whereby the consumer receives the product or service and payment is made to the retailer. Other features and advantages of the present invention will become more readily apparent to those of ordinary skill in the art after reviewing the following detailed description and accompanying drawings.

  The details of the invention, both as to the structure and operation of the invention, may be ascertained in part by studying the accompanying drawings, in which like numerals indicate like parts.

FIG. 1 is a network diagram illustrating an exemplary system for bulk purchase by an ad hoc consumer group according to an embodiment of the present invention. FIG. 2 is a block diagram illustrating an exemplary bulk purchase server according to an embodiment of the present invention. FIG. 3 is a block diagram illustrating an exemplary membership module in a bulk purchase server according to an embodiment of the present invention. FIG. 4 is a block diagram illustrating an exemplary group module in a bulk purchase server according to an embodiment of the present invention. FIG. 5 is a block diagram illustrating an exemplary transaction module in a bulk purchase server according to an embodiment of the present invention. FIG. 6 is a block diagram illustrating an exemplary evaluation module in a bulk purchase server according to an embodiment of the present invention. FIG. 7 is a flow diagram illustrating an exemplary process for bulk purchase by an ad hoc consumer group according to an embodiment of the present invention. FIG. 8 is a block diagram illustrating an example wireless communication device that may be used in connection with various embodiments described herein. FIG. 9 is a block diagram illustrating an example computer system that may be used in connection with various embodiments described herein.

  Embodiments disclosed herein group together like-minded consumers to form a bulk purchase group and leverage group size in exchange for discounts on desired goods and services from retailers In order to utilize the collective purchasing power of individual consumers. For example, according to one method disclosed herein, a leader member can create a transaction and market the transaction to potential consumers and potential retailers. As the number of potential consumers included in the transaction increases, the potential retailer's interest increases and the amount of discount increases as well.

  After reading this description it will become apparent to one skilled in the art how to implement the invention in various embodiments and alternative applications. However, although various embodiments of the present invention are described herein, these embodiments are presented by way of example only and not limitation. For ease of explanation, the following description focuses on a main embodiment in which the system is referred to as a Wolf Pack (“WP”) system and the consumer ad hoc group is referred to as a Wolf Pack (“WP”) or Pack. . However, the detailed description of the main and alternative embodiments is not intended to limit the scope or breadth of the present invention as set forth in the appended claims.

  FIG. 1 is a network diagram illustrating an exemplary system 10 for bulk purchase by an ad hoc consumer group according to an embodiment of the present invention. In the illustrated embodiment, the system 10 includes one or more WP reader devices 20. The WP reader device 20 is connected to one or more WP follower devices 30, one or more WP server devices 40, one or more WP retailer devices 50, and one or more social server devices 60 via a communication network 70. Communication connection is established.

  The one or more devices 20, 30, 40, 50, 60 may be implemented using a processor-controlled computer platform as described below with respect to FIGS. These devices may be wired or wireless communication devices, and preferably wired or wireless (or both) communication may be performed in the system 10 with various other devices over the network 70. Each of the one or more devices is provided with an associated data storage area, that is, data storage areas 25, 35, 45, 55, 65. The data storage area comprises volatile and persistent data storage means and provides a computer readable storage medium. The computer-readable storage medium can store data in accordance with instructions executable by one or more processors of one or more devices. Network 70 may be a wired or wireless network, a public or private network, a permanent or ad hoc network, or any combination thereof. For example, the network may include a mobile ad hoc wireless network in combination with a terrestrial wired network including the well-known Internet.

  In operation of the system 10, the WP reader 20 accesses the WP server 40 via the network 70 and creates a potential transaction for the desired product or service. A potential transaction includes specific metrics such as identification of a desired product or service and a target price for the desired product or service. The WP reader 20 provides all necessary information when creating a potential transaction. The data structure for the potential transaction is then stored in the data storage area 45. At this time, the WP server 40 may advertise the potential transaction to any visitor to the web page interface of the WP server 40.

  After creating the potential transaction, the WP reader 20 uses the WP server 40 to identify a plurality of potential WP followers 30 and communicates at least some of the various metrics of the potential transaction to the potential WP follower 30. To do. WP reader 20 communicates potential transactions to potential WP followers 30 via direct communication over network 70 such as email messages, text / SMS messages, voice messages (eg, voicemail), multimedia messages, and the like. May be. The WP leader 20 may communicate the potential transaction to the potential WP follower 30 via indirect communication via the network 70, such as posting one or more group bulletin boards. Advantageously, the group bulletin board may be maintained by the WP server 40 or one or more social servers 60. Examples of the social server 60 include Facebook, Twitter, Myspace, Google groups, and Yahoo groups.

  The WP server 40 may take the lead in promoting potential transactions by notifying WP members of potential transactions via direct or indirect communication. In addition, the WP server 40 analyzes potential transaction metrics and generates a transaction score based on these metrics. In one embodiment, a Wolfpack transaction score and an individual retailer transaction score may be generated based on potential transaction metrics. The transaction score can be used as a relative rating for a potential transaction and the WP server 40 can use the transaction score to facilitate the most highly rated potential transaction. In one embodiment, WP server 40 advertises a potential transaction to any visitor (including potential WP follower 30 and potential WP retailer 50) to the web page interface of WP server 40. , Providing a trading score (or one or both of a Wolfpack trading score and a retailer trading score).

  Further, one or more WP followers 30 may take the lead in promoting potential transactions using direct or indirect communication via WP server 40 or one or more social servers 60. Such a proactive promotion advantageously amplifies the exposure of potential transactions using viral marketing techniques.

  In addition, the WP reader 20, one or more WP followers 30, and even the WP server 40 can conduct potential transactions to one or more potential WP retailers 50 using direct or indirect communication via the WP server 40. It can be promoted proactively. Further, the WP reader 20 may employ offline communication without using the network 70 with one or more potential WP retailers 50, as indicated by the dashed lines. The WP follower 30 may also employ offline communication that does not use the network 70 with one or more potential WP retailers 50 (not shown). On the other hand, it is more common for the WP leader 20 to communicate with a potential WP retailer 50 and negotiate transaction metrics.

  The potential WP retailer 50 accesses the WP server 40 via the network 70 and examines various metrics of the potential transaction to measure the potential WP retailer 50's interest. One or more potential WP retailers may send a direct or indirect (or offline) message to the WP reader 20 regarding the metrics of the transaction to request a metric change. For example, a potential WP retailer 50 may have a minimum total set of WP leaders and WP followers for the transaction of 500 to 1000 so that the WP retailer 50 provides the desired 30% discount for the identified item. You may request an increase to The WP reader 20 may change the metrics of the transaction based on the request of the WP retailer 50, and the data structure changed for the transaction is stored in the data storage area 45.

  Alternatively, the WP leader 20 may use a modified metric to compete for a Wolfpack to consider that each of the plurality of WP retailers 50 has a competitive transaction for the desired product or service with slightly different transaction metrics. Transactions may be created. Each of these competitive transactions has a separate data structure stored in the data storage area 45, and each of these data structures is associated with a potential transaction created by the WP reader 20. Each of the various data structures for competitive trading can be modified by the WP leader 20 as the size of the wolf pack increases and the collective power of the wolf pack increases correspondingly. It would be advantageous to enter into a business contract with Wolfpack, providing better discounts or alternative incentives.

  In one embodiment, the WP follower 30 may request to become a WP reader 20. Advantageously, the WP server 40 may simplify the change of status from the WP reader 20 to the WP follower 30 or vice versa. This may be particularly useful when a potential transaction reaches a certain size and begins to draw interest directly from the wholesale product provider or directly from the product manufacturer. As will be appreciated, in certain cases, WP leaders 20 with different skill sets may better represent Wolfpacks in ongoing negotiations with potential WP retailers 50. Thus, the WP leader 20 may change multiple times during a potential transaction in order to increase the collective buying power of the Wolfpack.

  When the size of the wolf pack (ie, the total number of WP followers 30 and WP readers 20) is sufficiently large to meet the demands of trading metrics between the WP leader 20 and the selected WP retailer 50 Thus, the WP reader 20 accesses the WP server 40 and concludes a transaction contract. Signing a trading contract includes identifying the selected WP retailer 50 and each of the plurality of WP followers 30. In one embodiment, the WP retailer 50 is also required to confirm the conclusion of the trading contract and its associated metrics.

  When the business contract is concluded, the WP server 40 may handle the fee transfer process, which allows the WP retailer 50 to use a credit card or other for each WP follower 30 and the WP reader 20. A payment account of a type (e.g., PayPal) can be charged. Alternatively, the WP server 40 charges a credit card (or other similar account) for the WP member (ie, WP reader 20 and WP follower 30) associated with the transaction for which the contract has been signed, and The fee may be sent to the WP retailer 50. Alternative remittance processes such as automatic funds settlement center (“ACH”) or electronic payment (“EFT”) may be used.

  In one embodiment, the WP server 40 may provide a discount coupon or gift card to each WP member associated with a transaction for which a contract has been signed. Alternative methods for simplifying the shipment of goods or services in exchange for a fee will be understood by those skilled in the art and may also be as used by the WP server 40.

  Furthermore, after signing a trading agreement, the WP server 40 coordinates updated ratings for the WP reader 20, the WP follower 30, and the WP retailer 50. Each WP member profile advantageously has a separate rating associated with the participation of the member as a WP leader 20, WP follower 30, or WP retailer 50. Accordingly, the rating for the WP reader 20 is updated by the WP server 40 after the contract is signed and is raised or lowered based on the metrics of the transaction for which the contract is signed. Similarly, the rating for each of the WP followers 30 is updated by the WP server 40 after the contract is signed, for example, whether the WP followers 30 facilitated potential transactions and attracted additional WP followers 30, or WP followers The rating is raised or lowered based on whether the coupon or gift card provided 30 has been used for a given period of time. In particular, the WP leader 20 may update the follower evaluation after the transaction contract is concluded. In addition, ratings for WP retailers 50 are also based on transaction metrics after the contract is signed, and perhaps the quality of the goods or services provided, and the provided coupons or gift cards are sold at retail locations (store sales or online ) May be updated based on whether it was received or rejected. As is well known to those skilled in the art, various parameters may be used in the evaluation for WP readers, followers, and retailers.

  Finally, at the conclusion of the transaction contract, the WP server 40 records the transaction metrics and other demographic information about the transaction in its data storage area. The WP server 40 advantageously maintains a rich data set of contracted deals and their associated demographic information, focusing on such data, trends and future wolfs. Other bargaining power can be identified that provides additional bargaining power to the pack or that can be packaged and sold to a market analysis company or other group of interest.

  FIG. 2 is a block diagram illustrating an exemplary WP server 40 according to one embodiment of the present invention. The WP server 40 includes programmed modules that are stored in the data storage area 45 and are executed by one or more processors to perform their respective functions. In the illustrated embodiment, the WP server 40 includes a member module 100, a group module 110, a transaction module 120, a contract conclusion module 130, an evaluation module 140, a pack module 150, a social interface module 160, and an advertisement module 170.

  The member module 100 is configured to manage a member profile in the data storage area 45 of the WP server 40. Member module 100 also simplifies the sign-up of new members to WP server 40, eg demographic information about members including name, address, city, state, zip code, hobbies, interests, and WP members It also collects other useful information that can be used to identify potential groups of consensus consumers.

  Member module 100 also operates in conjunction with evaluation module 140 to update evaluation information in the member profile. In one embodiment, the membership profile allows WP members to act as WP leaders, WP followers, or WP retailers. Accordingly, business toe business transactions are simplified by the WP server 40. In the WP server 40, the WP leader is a business entity, the WP follower is also a business entity, and the Wolfpack is a product to be purchased from the business entity (for example, a manufacturer or a wholesaler).

  The member module 100 operates in association with the group module 110 to manage the association of a specific member with one or more groups. Advantageously, demographic information contained in the member profile can be analyzed by the member module 100 to identify and propose potential groups for members to approve associations.

  The group module 110 is configured to manage a group of member profiles in the data storage area of the WP server 40. The group module 110 simplifies the creation of new groups and the separation of new groups from existing groups. A member can belong to multiple groups at the same time, so if a new group separates from an existing group, the group module 110 creates a separate group using a specific common demographic and creates a separate group Advantageously, it can only be combined with members of existing groups that share common demographics. The group module also simplifies the identification of consensus consumers based on group membership by maintaining the associated group class.

  Transaction module 120 is configured to create and manage transactions instead of wolf packs, store and modify transaction data structures in data storage area 45 of WP server 40. The transaction module 120 operates with the group module 110 and the member module 100 to spread the transaction to the WP follower, and also operates with the contract conclusion module 130 to also conclude an accepted transaction contract. The trading module 120 further operates in conjunction with the rating module 140 and the member module 100 to update the ratings of WP leaders, WP followers, and WP retailers in various member profiles after the conclusion of a trading contract. The trading module operates in conjunction with the social interface module to simplify sharing information about potential trades, and to sell potential trades to potential WP followers and WP retailers.

  The contract conclusion module 130 manages the remittance from the WP leader and WP follower to the WP retailer at the conclusion of the transaction contract and the corresponding shipment of coupons or gift cards from the WP retailer to the WP reader and WP follower. It is configured. In one embodiment, the contract conclusion module 130 may simplify direct fee transfer transactions between WP retailers and WP leaders and WP followers. Such direct charge transfer may be performed by a series of payments such as a credit card, ACH, EFT, or Paypal. Alternatively, the contract conclusion module 130 may simplify indirect fee transfer transactions between WP retailers and WP leaders and WP followers. Such indirect charge transfer is also performed by a series of payments (for example, credit card, ACH, EFT, or PayPal) between the WP server 40 and the WP reader and WP follower, followed by the WP server 40 and the WP retailer. And a single or a series of settlements. The contract conclusion module 130 is also configured to track the use of coupons and gift cards by the WP follower and WP reader after the contract is concluded, and operates in conjunction with the evaluation module 140 to evaluate the WP follower and WP reader. Simplify renewal based on timely delivery of coupons or gift cards by each WP follower and WP reader.

  The rating module 140 is configured to manage the rating of individual members in their various capabilities as WP leaders, WP followers, and WP retailers. The evaluation module 140 operates in conjunction with the member module 100 and the transaction module 120 to analyze the metrics of the transaction after the contract is signed, and corresponding WP leader rating, WP follower rating, and WP for the participants in the contract for which the contract has been signed. Update retailer ratings.

  Further, the evaluation module 140 is configured to analyze the metrics of the potential transaction and create a transaction score that is an evaluation for the potential transaction. The evaluation module 140 analyzes demographic data from completed transactions stored in the data storage area 45 of the WP server 40 and uses metrics and other demographic data from past transactions to identify potential transactions. It is advantageous to generate transaction scores and ratings as compared to other metrics and demographic data. In one embodiment, the WP leader and one or more potential WP retailers may be considered by transaction score and rating.

  The pack module 150 may be configured to manage pre-configured ad hoc wolf packs and maintain these wolf packs in the data storage area 45 of the WP server 40. The pack module 150 simplifies persistent wolf packs, which are then advantageously capable of creating, selling, and closing multiple transactions in series and / or in parallel. The pack module 150 operates in conjunction with the member module 100, group module 110, and transaction module 120 to update WP members that are part of a persistent wolf pack. Advantageously, a persistent wolf pack may include multiple potential WP leaders, WP followers, and WP retailers. In one embodiment, persistent wolf packs are created for the purpose of regularly performing recurring payments. For example, a persistent wolf pack may include multiple WP readers and WP followers that regularly purchase perishable items such as flowers. A persistent wolf pack may also include multiple WP retailers selling flowers. Once a month, a persistent wolf pack may take advantage of its collective purchasing power to purchase multiple flowers from one or more of the WP retailers. Sustained Wolf Pack may add additional WP leaders, WP followers, and WP retailers over time, thereby providing a potential source of regular and repetitive business to WP retailers, On the other hand, it is advantageous to provide WP readers and WP followers also with a good price for their respective purchases.

  The social interface module 160 manages the use of social media applications to the WP server 40 by WP readers and WP followers to draw attention to potential transactions and simplify the addition of WP followers to potential transactions It is configured. Social interface module 160 is also configured to manage the use of external social media applications such as Facebook, Myspace, Twitter for the same purpose. The social interface module 160 further operates in conjunction with the group module 110 to simplify the identification of external groups. External groups can be leveraged to assist WP leaders or WP followers in selling potential transactions to like-minded consumers. In this capability, social interface module 160 obtains metadata information about external social networking applications and groups, and uses that metadata in data storage area 45 using the identified external group and corresponding metadata. It may be provided to the group module 110 for use in expanding the stored WP server 40 group.

  The social interface module 160 is also configured to generate a site map and site feed that the WP server 40 stores in the data storage area 45 for distribution to a search engine. The site map and site feed not only reflect the pages hosted by the web server interface of the WP server 40 (eg, one page per potential transaction), but also information about the demographics of various potential transactions in progress. Is advantageously provided to an external search engine. Thus, the site map and site feed are easily found by conventional searches by non-WP members and are directed to the WP server 40 to redirect potential WP member transactions to WP members and WP followers for potential transactions. Induce.

  In one embodiment, relative transaction scores and ratings for potential transactions can be used to determine relative priority values for various pages. This relative priority value is then added to the site map as the value of the <priority> tag so that a relatively highly rated transaction is automatically given a relatively high priority in the search results of a conventional search engine. include. Sitemaps and feed data can be used to create new sitemaps that include this new potential transaction when a new potential transaction is created, and to take the initiative to search engines so that it can be provided to multiple search engines. It is advantageous that it can be distributed. Similarly, the social interface module 160 is configured to provide updated information about potential transactions to a social networking outlet that includes only two but including Twitter and a really simple syndication (“RSS”) feed, etc. .

  Advertising module 170 is configured to simplify standard, regional advertising from retailers for potential purchasers who are WP members (eg, WP leaders and WP followers). The advertisement module 170 operates in conjunction with the member module 100 and the group module 110 to identify WP members and groups of WP members that have a common interest. With these groups of common interests, it is advantageous for the WP server 40 to provide a very specifically targeted viewer to the WP retailer seeking advertising. In one embodiment, the advertisement from the WP retailer is not a traditional advertisement, but a WP advertisement for a potential transaction looking for a WP leader. A WP Leader has sufficient interest and willingness to undertake a project to create a Wolfpack for a potential transaction, sell that potential transaction, and collect a sufficient number of WP followers to enter into a trading agreement. It is something with. In such an embodiment, the WP advertisement includes specific transaction metrics such as the number of required WP followers and the corresponding discount. For example, a WP retailer may offer an increased discount rate based on an increase in the number of WP followers for potential transactions.

  FIG. 3 is a block diagram illustrating an exemplary membership module 100 in a bulk purchase server according to an embodiment of the present invention. In the illustrated embodiment, the member module 100 includes a WP reader module 200, a WP follower module 210, and a WP retailer module 220. The member module 100 is configured to manage a member profile in the data storage area 45 of the WP server 40.

  The WP leader module 200 is configured to manage the WP leader perspective of the WP member profile. For example, the WP reader module 200 operates in conjunction with the transaction module 120 to update the WP reader evaluation value of the WP member profile when a transaction contract is concluded. In one embodiment, the WP Leader Rating is based on objective terms and metrics from the deal with which the contract is signed, and further, contracts such as one or more WP followers and one or more WP retailers are signed. May be determined based on subjective feedback from participants in the traded transaction. The WP leader module 200 is also configured to operate in conjunction with the group module 110 to simplify WP member membership in various groups that may be linked to WP member status as a WP leader.

  The WP follower module 210 is configured to manage the WP follower perspective of the WP member profile. For example, the WP follower module 210 operates with the transaction module 120 to update the WP follower evaluation value of the WP member profile when a transaction contract is concluded. In one embodiment, the WP follower valuation is based on objective terms and metrics from the deal with which the contract was signed, and further, a contract such as one or more WP leaders and one or more WP retailers is signed. May be determined based on subjective feedback from participants in the traded transaction. The WP follower module 210 is also configured to operate with the group module 110 to simplify WP member membership in various groups that may be linked to the WP member status as a WP follower.

  The WP retailer module 220 is configured to manage the WP retailer perspective of the WP member profile. For example, the WP retailer module 220 is configured to operate in conjunction with the trading module 120 to update the WP retailer rating of the WP member profile when a trading contract is concluded. In one embodiment, the WP retailer valuation is based on objective terms and metrics from the deal with which the contract was signed, and in addition, a contract such as one or more WP leaders and one or more WP followers is signed. May be determined based on subjective feedback from participants in the traded transaction. The WP retailer module 220 operates in conjunction with the group module 110 to simplify WP member membership in various groups that may be linked to WP member status as a WP retailer.

  FIG. 4 is a block diagram illustrating an exemplary group module 110 in a bulk purchase server according to an embodiment of the present invention. In the illustrated embodiment, the group module 110 includes a membership module 250, a class module 260, a group module 270, and a metagroup module 280. The group module 110 is configured to manage various member profiles and group memberships of groups in the data storage area 45 of the WP server 40.

  The membership module 250 is configured to manage membership of WP member profiles in one or more groups and to manage the WP profiles of the groups themselves. Advantageously, the WP member profile may be a member of multiple groups at the same time. Furthermore, the membership module 250 is also configured to manage group membership in other groups. In one embodiment, the WP profile for the first group is specific metadata about the first group, eg, one or more commons shared by WP members and WP groups that are part of the first group. Including interests.

  The class module 260 is configured to manage relationships between groups. In one embodiment, the first group may be a member of the second group, and the class relationship between the first group and the second group is managed by the class module 260. Further, the first group may be a separation group from the second group. In such a case, the class relationship between the first group and the second group in this case is also managed by the class module 260. If the first group is separate from the second group, it is advantageous that the first group inherits certain features and metadata from the second group (ie, the parent group).

  The collective module 270 analyzes the metadata and characteristics of the first group and identifies common interests or other data that provides a link between the first group and the second group or WP member. It is configured. In this manner, the collective module 270 facilitates additional membership in the group (eg, membership by an individual WP member or membership by a WP group). The population module 270 is also configured to identify potential segregation groups within the WP group. The more homogeneous the group, the more advantageous it is to be able to sell to that group more effectively, so that WP retailers join as WP members and use the WP server system to be very specific. Will pay for the advertisement for the target WP group.

  The collective module 270 operates in conjunction with the trading module 120 to assist in identifying potential consensus consumers and sending communications to such identified consensus consumers. In this capability, the collective module may simplify posting messages that sell potential transactions on multiple bulletin boards. The bulletin board leads to multiple discrete WP groups that share one or more common interests or other features or metrics that are part of a potential transaction. The collective module 270 can operate in conjunction with the class module 260 to identify a collective set of WP groups. The collective module 270 operates in conjunction with the social interface module 160 to identify external groups that share one or more common interests, or other characteristics or metrics that are part of a potential transaction, and these external groups It would be advantageous to be able to simplify the posting of messages to sell potential transactions on the bulletin board.

  The meta group module 280 operates in conjunction with the social interface module 160 to identify external groups (eg, Yahoo groups or Google groups). An external group shares one or more common concerns, or other characteristics, or metrics with an individual WP member or WP group. In one embodiment, the metagroup module collects metadata for these external groups and stores this metadata in the data storage area 45 of the WP server 40. This group metadata identifies common trends and relationships and classes between WP groups and external groups, and further identifies common trends and relationships and classes between external groups. In addition, it is advantageous that it is continuously collected and analyzed by similar metadata associated with the WP group. In one embodiment, the metagroup module 280 develops and stores a huge data set of information linking multiple internal and external groups. This information simplifies the rapid identification of groups of consensus whether an individual group is from a WP server or from an external source.

  FIG. 5 is a block diagram illustrating an exemplary transaction module 120 in a bulk purchase server according to an embodiment of the present invention. In the illustrated embodiment, the transaction module 120 includes a transaction proposal module 300, a transaction request module 310, a transaction details module 320, a transaction discovery module 330, a transaction marketer module 340, and a transaction aggregation module 350. Transaction module 120 is configured to simplify the creation and management of potential transactions and the storage and updating of the data structures associated with each potential transaction in data storage area 45 of WP server 40.

  Transaction proposal module 300 is configured to receive and accept proposals for potential transactions from WP retailers. In one embodiment, the transaction proposal module 300 operates in conjunction with the member module 100, the group module 110, and the advertisement module 170 to identify potential WP leaders and to identify potential transactions configured by WP retailers. Promote and promote potential WP leaders. The transaction proposal module 300 receives information, metrics, features, and metadata related to various potential transactions and stores the information, metrics, features, and metadata in a data structure in the data storage area 45 of the WP server 40. Is configured to do.

  The transaction request module 310 is configured to receive and accept requests for potential transactions from the WP reader. In one embodiment, the transaction request module 310 operates in conjunction with the member module 100, group module 110 and social interface module 160 to identify potential WP followers and WP retailers, and such potential WP followers and WP retailers. Promote and promote potential transactions organized by WP leaders to merchants. The transaction request module 310 receives information, metrics, features, and metadata related to various potential transactions and stores the information, metrics, features, and metadata in a data structure in the data storage area 45 of the WP server 40. Is configured to do.

  The transaction details module 320 is configured to manage various details of potential transactions, store new details in the WP server data storage area 45, and store revised details in the WP server data storage area 45. ing. For example, the potential transaction details stored as a data structure may include the minimum number of WP followers in an acceptable transaction, or the minimum number of items purchased in an acceptable transaction. The transaction details may also include discounted pricing compliance based on the number of units sold in the transaction or the minimum number of WP followers. The transaction details may also include product or discount delivery information and information about whether the potential transaction is private or public.

  In one embodiment, the transaction details module 320 operates in conjunction with the transaction marketer module 340 to tentatively update transaction information received from a potential WP retailer (eg, the minimum number of WP members in a Wolfpack), and then Revise the transaction parameters when accepted by the WP leader, or create a competitive potential transaction for a particular WP retailer from the provisionally updated transaction information. The transaction detail module 320 operates in conjunction with the transaction aggregation module 350 to create and store a data structure that represents a hypothetical scenario when two or more potential transactions are hypothesized or actually aggregated. The transaction detail module 320 operates in conjunction with the transaction discovery module 330 to provide information related to the transaction in response to the query.

  In one embodiment, the transaction details module 320 is also configured to manage a list of WP followers and WP retailers associated with potential transactions. These attributes of the transaction are additional metrics that are managed and stored as a data structure by the transaction detail module 320. In addition, the transaction details module 320 allows all relevant WP members (WP leaders, WP followers, WP retailers) to associate updated information about the transaction, eg, a predetermined threshold number of WP followers with potential transactions. You may take the initiative to communicate the relatively high discount rate that is applied.

  The transaction discovery module 330 receives the search parameters and is stored in the data storage area 45 of the WP server 40 to examine various data structures associated with the potential transaction to match all or part of the search parameters or search It is configured to return a resulting set that identifies potential transactions associated with the parameter. In one embodiment, in such an embodiment, any private transactions accessible to the searching WP member are also included in the searched data structure, but only public potential transactions are searched. The The transaction discovery module 330 also searches the data storage area 45 for a data structure that represents the transaction for which the contract has been signed, in order to provide rich historical information to the WP leader or WP retailer for wolfpack system commerce activities. Is advantageous.

  Transaction marketer module 340 is configured to facilitate potential transactions for potential WP leaders, WP followers, and WP retailers. Transaction marketer module 340 operates in conjunction with group module 110 and social interface module 160 to consume potential sympathies that can be reached by communicating with potential sympathy consumers who are WP members, for example, with an external group bulletin board. Simplification of marketing to the buyer. Transaction marketer module 340 also works with advertising module 170 to simplify marketing potential transactions to potential WP leaders who may be interested in and win potential transactions created by WP retailers. To do.

  The transaction aggregation module 350 analyzes various metrics, features, and metadata associated with a potential transaction and compares and contrasts such information to two or more wolf packs and one or more WP retailers. Are configured to identify two or more potential transactions that can be aggregated into a single transaction. The transaction aggregation 350 operates in conjunction with the transaction details module 320 to create and store a data structure for such hypothetical aggregation transactions and convert the hypothetical aggregation transactions into actual potential transactions. The transaction aggregation module 350 develops hypothetical scenarios for hypothetical aggregated transactions by WP leaders, WP followers, or WP retailers, and later creates data structures according to hypothetical aggregated transactions to interested parties. It is also configured to remember for promotion.

  FIG. 6 is a block diagram illustrating an exemplary evaluation module 140 in a bulk purchase server according to an embodiment of the present invention. In the illustrated embodiment, the evaluation module 140 includes a leader evaluation module 360, a follower evaluation module 370, a retailer evaluation module 380, and a transaction evaluation module 390. Evaluation module 140 is configured to determine and manage WP reader, WP follower, and WP retailer ratings for various WP member profiles in data storage area 45 of WP server 40.

  The leader assessment module 360 is configured to manage the calculation and updating of WP leader assessment values for WP members and store new or changed WP leader assessments in the data storage area 45 in association with the corresponding WP member profile. Yes.

  The follower evaluation module 370 is configured to manage the calculation and update of WP follower evaluation values for WP members and store new or changed WP follower evaluation values in the data storage area 45 in association with the corresponding WP member profile. ing.

  Retailer rating module 380 manages the calculation and updating of WP retailer rating values for WP members and stores new or modified WP retailer rating values in data storage area 45 in association with the corresponding WP member profile. It is configured.

  The transaction evaluation module 390 is configured to analyze demographic data, metrics, and related metadata about the potential transaction and create a transaction score that is an evaluation of the potential transaction. This rating can then be stored in data storage area 45 and used to market potential transactions to potential WP followers and WP retailers.

  When calculating a valuation for a potential transaction, the transaction valuation module 390 analyzes demographic data and other information from completed transactions stored in the data storage area 45 of the WP server 40 to obtain historical data. Such demographic data and other information from the transaction may be compared with potential transaction demographic data and similar information to generate a transaction score and rating. In one embodiment, current and previous WP leaders, current and previous WP followers, and current and previous potential WP retailers may be considered by transaction score and rating.

  In addition, the transaction evaluation module 390 may determine the relative priority for each of the ongoing potential transactions so that a corresponding <priority> value may be set in the site map provided to the conventional search engine. A relative rating of the transaction may be provided to the social interface module for use in determining.

  FIG. 7 is a flow diagram illustrating an exemplary process for bulk purchase by an ad hoc consumer group according to an embodiment of the present invention. The illustrated process may be performed by the bulk purchase system already described with respect to FIGS. Initially, in step 400, a potential transaction is created. This creation is performed by a WP reader using a WP server. Creating a transaction includes creating and storing a data structure on a computer readable storage medium. However, the data structure includes various desired characteristics of the transaction. Next, in step 405, potential retail partners are identified. A potential retail partner may be an existing WP retailer member or a retailer who has not yet become a WP retailer member.

  In step 410, the system may optionally update the desired transaction parameters based on, for example, feedback from one or more potential retailers for the transaction parameters. In one embodiment, instead of updating the transaction parameters, the competitive parallel transaction is a data structure so that the Wolfpack looking for the desired transaction will have at least two potential transactions to evaluate for selection. Stored in the data storage area.

  Next, in step 415, potential transactions are marketed to identify potential WP followers. Potential trade sales can be promoted through internal WP groups, and even external social networking applications and even WP leaders, or even WP followers, or even WP retailers, to additional consensus consumers. It may be done by making use of relationships. In step 420, it is determined whether the necessary metrics for concluding the trading contract have been achieved. Achieving the required metrics is, for example, achieving a limit amount of WP followers or achieving a desired threshold number for the WP followers to obtain a desired discount. If the desired metrics and limit quantities are not achieved, it is advantageous for the process to return to market mode and facilitate the transaction to attract additional WP followers. Once the desired metric or limit amount has been achieved as determined at step 420, the system enters into a trading contract at step 425. The conclusion of a trading contract may include managing the exchange of goods and fees between the WP leader and WP follower and the WP retailer. Alternatively, the conclusion of a trading contract may include the distribution of coupons or gift cards to WP leaders and WP followers. In such a scenario, the exchange of goods (or services) and fees may be done offline from the WP server.

  FIG. 8 is a block diagram illustrating an example wireless communication device 450 that may be used in connection with various embodiments described herein. For example, the wireless communication device 450 may be used together with the above-described WP reader device or WP member device. While the wireless communication device 450 may be used with the aforementioned WP server devices or WP retailer devices, these devices typically process more data and data that would be found in the wireless communication device 450. It is likely that you will need storage resources. However, as will be apparent to those skilled in the art, other wireless communication devices and / or architectures with sufficient physical resources may also be used.

  In the illustrated embodiment, wireless communication device 450 includes antenna system 455, radio system 460, baseband system 465, speaker 470, microphone 480, central processing unit (“CPU”) 485, data storage area 490, and hardware interface. 495. In wireless communication device 450, radio frequency (“RF”) signals are transmitted and received via air by antenna system 455 under the control of radio system 460.

  In one embodiment, antenna system 455 may comprise one or more antennas and one or more multiplexers (not shown) that implement a switching function that provides transmit and receive signal paths to antenna system 455. Good. In the receive path, the received RF signal can be coupled from the multiplexer to a low noise amplifier (not shown). The low noise amplifier amplifies the received RF signal and transmits the amplified signal to the radio system 460.

  In alternative embodiments, the radio system 460 may comprise one or more radios configured to communicate via various frequencies. In one embodiment, radio system 460 may combine a demodulator (not shown) and a modulator (not shown) in one integrated circuit (“IC”). The demodulator and modulator may be separate components. In the input path, the demodulator separates the RF carrier signal that leaves the baseband received audio signal, which is transmitted from the radio system 460 to the baseband system 465.

  If the received signal contains audio information, the baseband system 465 decodes the signal and converts it to an analog signal. Then, the signal is amplified and transmitted to the speaker 470. Baseband system 465 also receives an analog audio signal from microphone 480. These analog audio signals are converted to digital signals and encoded by the baseband system 465. The baseband system 465 also encodes the digital signal for transmission and generates a baseband carrier audio signal that is sent to the modulator portion of the radio system 460. The modulator mixes the baseband carrier audio signal with an RF carrier signal that generates an RF carrier signal. The RF carrier signal is sent to the antenna system and may pass through an output amplifier (not shown). The output amplifier amplifies the RF carrier signal and sends it to the antenna system 455. In the antenna system 455, this signal is switched to the carrier antenna port.

  The baseband system 465 is also connected to the central processing unit 485 by communication. Central processing unit 485 has access to data storage area 490. Central processing unit 485 is preferably configured to execute instructions (ie, computer programs or software) that can be stored in data storage area 490. The computer program can also be received from the baseband processor 465, stored in the data storage area 490, or executed when received. When such a computer program is executed, the wireless communication device 450 can implement various functions of the present invention as described above. For example, the data storage area 490 may include various software modules (not shown) described above in connection with FIG.

  In this description, the term “computer-readable medium” is used to provide executable instructions (eg, software and computer programs) to the wireless communication device 450 for execution by the central processing unit 485. Is used to refer to any storage medium. These computer readable storage media are means for providing executable code, programming instructions, and software to wireless communication device 450. Executable code, programming instructions, and software, when executed by central processing unit 485, preferably cause central processing unit 485 to implement the features and functions of the invention previously described herein.

  The central processing unit 485 is preferably also configured to receive a notification from the hardware interface 495 when a new device is detected by the hardware interface. The hardware interface 495 may be a combination of an electromechanical detector and control software that communicates with the CPU 485 and interacts with the new device. The hardware interface 495 may be a firewire port, USB port, Bluetooth or infrared wireless unit, or any of a variety of wired or wireless access mechanisms. Examples of hardware that may be linked to the device 450 include a data storage device, a computing device, headphones, a microphone, and the like.

  FIG. 9 is a block diagram illustrating an example computer system 550 that may be used in connection with various embodiments described herein. For example, the computer system 550 may be used with the previously described WP reader device, WP member device, WP server device, or WP retailer device. However, other computer systems and / or architectures may be used as will be apparent to those skilled in the art.

  Computer system 550 preferably includes one or more processors, such as processor 552. Auxiliary processors that manage inputs / outputs, auxiliary processors that perform floating-point math operations, special-purpose microprocessors (eg, digital signal processors) with architectures suitable for high-speed execution of signal processing algorithms, slave processors that are dependent on the main processing system Additional processors may be provided, such as (eg, back-end processors), additional microprocessors, or controllers for dual or multiprocessor systems or coprocessors. Such an auxiliary processor may be a separate processor or may be integrated in the processor 552.

  The processor 552 is preferably connected to the communication bus 554. The communication bus 554 may include a data channel for simplifying information transfer between the storage unit of the computer system 550 and peripheral components. Communication bus 554 may further provide a set of signals used to communicate with processor 552, including a data bus, an address bus, and a control bus (not shown). The communication bus 554 may be, for example, an industry standard architecture (“ISA”), an extended industry standard architecture (“EISA”), a microchannel architecture (“MCA”), a peripheral component interconnect (“PCI”) local bus, or IEEE488. Includes any standard or non-standard bus architecture, such as a general purpose interface bus (“GPIB”), a bus architecture that meets standards enforced by the Institute of Electrical and Electronics Engineers (“IEEE”), including IEEE 696 / S-100, etc. You may go out.

  Computer system 550 preferably includes main memory 556 and may also include auxiliary memory 558. Main memory 556 provides an instruction and data storage for a program executed in processor 552. Main memory 556 is typically a semiconductor-based memory such as dynamic random access memory (“DRAM”) and / or static random access memory (“SRAM”). Other types of semiconductor memory include, for example, read only memory (“ROM”), synchronous dynamic random access memory (“SDRAM”), Rambus dynamic random access memory (“RDRAM”), ferroelectric random And an access memory (“FRAM (registered trademark)”).

  Auxiliary memory 558 includes hard disk drive 560 and / or removable storage drive 562 (eg, floppy disk drive, magnetic tape drive, compact disk (“CD”) drive, digital multipurpose disk (“DVD”) drive, etc.). May optionally be included. The removable storage drive 562 reads from and / or writes to removable storage media 564 in a known manner. The removable storage medium 564 may be, for example, a floppy disk, a magnetic tape, a CD, a DVD, or the like.

  Removable storage medium 564 is preferably a computer readable medium having stored thereon computer executable code (ie, software) and / or data. Computer software or data stored on removable storage medium 564 is read into computer system 550 as telecommunications signal 578.

  In alternative embodiments, auxiliary memory 558 may include other similar means for allowing computer programs or other data or instructions to be loaded into computer system 550. Such means may include, for example, an external storage medium 572 and an interface 570. Examples of the external storage medium 572 may include an external hard disk drive or an external optical drive, and an external magneto-optical drive.

  Other examples of auxiliary memory 558 are programmable read only memory (“PROM”), erasable programmable read only memory (“EPROM”), electrically erasable read only memory (“EEPROM”), or flash memory (to EEPROM). Semiconductor memory such as a similar memory for block). In addition, any other removable storage unit 572 and interface 570 may be mentioned, which allow software and data to be transferred from the removable storage unit 572 to the computer system 550.

  Computer system 550 may also include a communication interface 574. Through the communication interface 574, software and data may be transferred between the computer system 550 and an external device (eg, a printer), a network, or an information source. For example, computer software or executable code may be transmitted from the network server to computer system 550 via communication interface 574. Examples of the communication interface 574 include a modem, a network interface card (“NIC”), a communication port, a PCMCIA slot and card, an infrared interface, and an IEEE 1394 fire wire.

  The communication interface 574 includes Ethernet (registered trademark) IEEE 802 standard, fiber channel, digital subscriber line (“DSL”), asynchronous digital subscriber line (“ADSL”), frame relay, asynchronous transfer mode (“ATM”), integrated Digital service network (“ISDN”), personal communication service (“PCS”), transmission control protocol / Internet protocol (“TCP / IP”), serial line Internet protocol / point-to-point protocol (“SLIP / PPP”), etc. While it is preferable to implement industrial enforced protocol standards, customized or non-standard interface protocols may be implemented as well.

  Software and data transmitted via the communication interface 574 is generally in the form of a telecommunication signal 578. These signals 578 are preferably provided to communication interface 574 via communication channel 576. Communication channel 576 carries signal 578 and includes various wires, including wire or cable, fiber optic components, conventional telephone lines, cellular telephone lines, wireless data communication links, radio frequency (“RF”) links, or infrared links. Or it may be implemented using wireless communication means.

  Computer-executable code (ie, computer program or software) is stored in main memory 556 and / or auxiliary memory 558. Computer programs may be received via communication interface 574 and stored in main memory 556 and / or auxiliary memory 558. When such a computer program is executed, it causes the computer system 550 to execute various functions of the present invention as described above. For example, the data storage areas 556 and 558 may include various software modules (not shown) previously described with reference to FIG.

  In this description, the term “computer-readable storage medium” refers to any storage medium used to provide computer-executable code (eg, software and computer programs) to computer system 550. Is used. Examples of storage media include main memory 556, auxiliary memory 558 (including hard disk drive 560, removable storage medium 564, and external storage medium 572), and any peripheral device connected to communication interface 574 by communication ( Network information server, or other network device). These computer readable storage media are means for providing executable code, programming instructions, and software to computer system 550.

  In one embodiment implemented using software, the software is stored on a computer readable storage medium and is transferred to computer system 550 using removable storage drive 562, interface 570, or communication interface 574. May be loaded. In one such embodiment, software is loaded into computer system 550 in the form of telecommunications signal 578. This software, when executed by the processor 552, preferably causes the processor 552 to perform the features and functions of the invention previously described herein.

  Various embodiments may be implemented primarily in hardware using components such as, for example, application specific integrated circuits (“ASICs”) or field programmable gate arrays (“FPGAs”). Implementation of a hardware state machine capable of performing the functions described herein will also be apparent to those skilled in the relevant arts. Various embodiments may be implemented using a combination of both hardware and software.

  Further, the various exemplary logic blocks, modules, circuits, and method steps described in connection with the figures described above and the embodiments disclosed herein may be represented as electronic hardware, computer software, or a combination of both. One skilled in the art will recognize that it can often be implemented. To clearly illustrate the interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Those skilled in the art can implement the described functionality in a variety of ways for each particular application, but such implementation decisions are not to be construed as a departure from the scope of the invention. Furthermore, the grouping of functions in a module, block, circuit, or step is for ease of explanation. Specific functions or steps may be moved from one module, block, or circuit to another without departing from the scope of the present invention.

  Also, the various exemplary logic blocks, modules, and methods described in connection with the embodiments disclosed herein are general purpose processors, digital signal processors (designed to perform the functions described herein) “DSP”), ASIC, FPGA, or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof. A general purpose processor may be a microprocessor, but in the alternative, the processor may be any processor, controller, microcontroller, or state machine. The processor may also be implemented as a combination of computing devices, eg, a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors with a DSP core, or any other such configuration. Can be done.

  Further, the method or algorithm steps described in connection with the embodiments disclosed herein may be implemented directly in hardware, software modules executed by a processor, or a combination of the two. The software module may be RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium including network storage medium. An exemplary storage medium may be coupled to the processor. Such a processor can read information from and write information to the storage medium. In the alternative, the storage medium may be integral to the processor. Processors and storage media may also be present in the ASIC.

  The above description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles described herein may be applied to other embodiments without departing from the spirit or scope of the invention. Accordingly, the description and drawings presented herein are to be understood as representing presently preferred embodiments of the invention and representative of the subject matter that is broadly contemplated by the present invention. Further, it is understood that the scope of the present invention fully encompasses other embodiments that will be apparent to those skilled in the art, and thus the scope of the present invention is not limited.

Claims (15)

A computer-implemented method for simplifying payment, wherein one or more processors are:
Receiving at a server information about at least one of the products and services for which a group discount is sought;
Communicating at least some of the information about the at least one of products and services to a plurality of individuals;
Requesting information indicative of interest in the at least one of products and services from the plurality of individuals;
Receiving information from one or more of the plurality of individuals;
Presenting a pricing discount to the interested individual for the at least one product and service;
The method, wherein the pricing discount is a function of the at least one turnover of products and services. The method of claim 1, wherein
Further comprising receiving volume-based discount information corresponding to a negotiated transaction based on the information received from the one or more of the plurality of individuals prior to presenting a pricing discount to an interested individual. Feature method. The method of claim 1, wherein
Receiving at the server information about at least one of the products and services for which a group discount is sought includes receiving information about the product or service from an individual seeking to initiate a volume based discount offer . The method of claim 1, wherein
A method further comprising identifying one or more individuals to communicate information about the at least one of products and services based on membership within the group. The method of claim 4, wherein
Identifying one or more individuals to communicate information about the at least one of products and services further comprises further based on geographic information known about members in the group. how to. The method of claim 1, wherein
Collecting from an individual interested in pricing discounts by the volume before the individual is provided with the at least one of products and services;
Determining the amount of discount provided based on the collection. The method of claim 6, wherein
The method further comprising providing a portion of the collection to a seller that provides the at least one of products and services. The method of claim 7, wherein
The method further comprises the step of maintaining a portion of the collected payment as a service fee. The method of claim 7, wherein
The method further comprises providing purchase repurchase information to individuals participating in the volume pricing discount. The method of claim 7, wherein
Further comprising scheduling a plurality of timing windows for different individuals to pick up the at least one product at a store, wherein the plurality of different timing windows are for different sets of individuals participating in the volume pricing discount. A method characterized by being scheduled. The method of claim 1, wherein
Further comprising scheduling a plurality of timing windows for different individuals to pick up the at least one product at a store, wherein the plurality of different timing windows are for different sets of individuals participating in the volume pricing discount A method characterized by being scheduled. The method of claim 1, wherein
Further comprising scheduling a plurality of timing windows for different individuals to take over the at least one service at a store, the plurality of different timing windows for different sets of individuals participating in the volume pricing discount A method characterized by being scheduled. A system including at least one processor in communication with at least one computer readable storage medium, the processor comprising:
Receiving information on at least one of the products and services for which a group discount is required at the server;
Communicating at least some of the information about the at least one of products and services to a plurality of individuals;
Requesting information from said plurality of individuals interested in said at least one of products and services;
Receiving information from one or more of the plurality of individuals;
Programmed to simplify settlement by presenting pricing discounts for said at least one of products and services to interested individuals;
The system, wherein the pricing discount is a function of the at least one sale of products and services. A computer-readable storage medium storing one or more sequences of instructions for causing one or more processors to execute steps for simplifying settlement, the steps comprising:
Receiving information on at least one of the products and services for which a group discount is required at the server;
Communicating at least some of the information about the at least one of products and services to a plurality of individuals;
Requesting information from said plurality of individuals interested in said at least one of products and services;
Receiving information from one or more of the plurality of individuals;
Presenting a price discount for the at least one of products and services to an interested individual, the price discount being a function of the at least one turnover of the products and services Storage medium. A technical system for simplifying settlement, said system comprising:
A computer readable storage medium for storing computer-executable programmed modules;
A processor communicatively coupled to a computer readable storage medium for executing a programmed module stored in the computer readable storage medium;
A transaction module configured to receive information regarding at least one of products and services stored in the computer readable storage medium and executed by the processor for which a group discount is sought;
Stored in a computer-readable storage medium and executed by the processor to provide at least some of the information about the at least one of products and services to a plurality of individuals and to the at least one product or services A social interface module configured to communicate with a person,
The transaction module further identifies a plurality of interested individuals, associates the interested individuals with the required group discount, and provides a pricing discount for the at least one product or service to the interested individuals. Is configured to present
The system, wherein the pricing discount is a function of the at least one turnover of a product or service.